Extractive summarization and Abstractive summarization. When it comes summarization there are two main approaches to it. It eases up the burden of manually going a pile of text, instead we get to the crucial topics of the document. It is attributed to being a sequence-to-sequence task. It is the task of generating a smaller version of the document by capturing all the important points. Text summarization is an application of Natural Language Processing. The team of engineers build an AI tool that can reduce the count of words using state-of-the-art transformer models. With the advancements in language technology, we can solve this problem with AI. Using AI to reduce the word count of essays Writing essays that satisfy all of the above strategies cannot be mastered within a short amount of time. Hence, we looked at an alternative to reduce the word count of essays with least effort from your side. However, this process can be stressful when you’re under pressure to meet a deadline.

Like trimming down on the irrelevant words, removing the adverbs and adjectives, shortening of paragraphs that have more than 7 sentences. There are some strategies to make your essay shorter. The ideal count for an essay is around 650 words. It becomes important to reduce the word count without compromising on the quality of the overall essay. Two of them being very prominent The total number of words is less than the required length or it’s greater than the stated range. To write an excellent your essay, you face many obstacles.

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